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med_v1_M04_1e-05
mprzibilla/med_v1_M04_1e-05
med_v1_M04_1e-05 is a automatic speech recognition model from mprzibilla. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Oct 26, 2022
- Updated
- Oct 26, 2022
- SHA
- e7b16a73
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
med_v1_M04_1e-05
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4848
- Wer: 1.0
- Cer: 1.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 20
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 18400
- num_epochs: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 38.6628 | 200.0 | 36800 | 3.4943 | 1.0 | 1.0 |
| 3.1727 | 400.0 | 73600 | 3.4369 | 1.0 | 1.0 |
| 3.0757 | 600.0 | 110400 | 3.4349 | 1.0 | 1.0 |
| 3.0212 | 800.0 | 147200 | 3.4523 | 1.0 | 1.0 |
| 2.9854 | 1000.0 | 184000 | 3.4652 | 1.0 | 1.0 |
| 2.9605 | 1200.0 | 220800 | 3.4733 | 1.0 | 1.0 |
| 2.943 | 1400.0 | 257600 | 3.4786 | 1.0 | 1.0 |
| 2.9311 | 1600.0 | 294400 | 3.4810 | 1.0 | 1.0 |
| 2.9235 | 1800.0 | 331200 | 3.4837 | 1.0 | 1.0 |
| 2.92 | 2000.0 | 368000 | 3.4848 | 1.0 | 1.0 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.2+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Oct 26, 2022
- Updated
- Oct 26, 2022